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INVESTIGATION INTO THEORETICALLY EXACT: RECONSTRUCTION ALGORITHMS TOWARDS IMPROVED IMAGE QUALITY - Softcover
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Reconstruction algorithms for clinical X-ray CT scanners have evolved over the year with emphasis on improving the noise properties of the reconstructed image especially for whole body imaging. With increasing regulations on X-ray radiation dose, approximate reconstruction algorithms are preferred over exact reconstruction algorithms for clinical applications due to their superior noise properties. In this thesis, we look into improving the image quality, measured in terms of noise, of exact reconstruction algorithms. Of all the exact reconstruction algorithms available in litterature, we choose the exact reconstruction algorithm developed be Katsevich because of its superior computation efficiency. The noise properties of the Katsevich algorithm is improved by modifying the algorithm to reconstruct the estimate of the attenuation density function over a small region in space. This small region is called a slice and we introduce five methods that allow Katsevich algorithm to reconstruct slices. The first method is called the sub-sampling filtering method and this method reconstructs an estimate of a slice by averaging estimates of sub- samples within the slice region.
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Über die Autorin bzw. den Autor
Rajesh Venkataraman has a Ph.D in Electrical and Computer Engineering from University of Utah, Salt Lake City, UT. He also has a B.E in Electronics and Communication Engineering from University of Madras, Chennai, Tamil Nadu, India. His current address is University of Minnesota 2021 6th Street SE Minneapolis, 55455, MN
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INVESTIGATION INTO THEORETICALLY EXACT
Verlag:
LAP LAMBERT Academic Publishing Dez 2009, 2009
ISBN 10: 3838334639
ISBN 13: 9783838334639
Neu
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Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Reconstruction algorithms for clinical X-ray CT scanners have evolved over the year with emphasis on improving the noise properties of the reconstructed image especially for whole body imaging. With increasing regulations on X-ray radiation dose, approximate reconstruction algorithms are preferred over exact reconstruction algorithms for clinical applications due to their superior noise properties. In this thesis, we look into improving the image quality, measured in terms of noise, of exact reconstruction algorithms. Of all the exact reconstruction algorithms available in litterature, we choose the exact reconstruction algorithm developed be Katsevich because of its superior computation efficiency. The noise properties of the Katsevich algorithm is improved by modifying the algorithm to reconstruct the estimate of the attenuation density function over a small region in space. This small region is called a slice and we introduce five methods that allow Katsevich algorithm to reconstruct slices. The first method is called the sub-sampling filtering method and this method reconstructs an estimate of a slice by averaging estimates of sub- samples within the slice region. 132 pp. Englisch. Bestandsnummer des Verkäufers 9783838334639
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INVESTIGATION INTO THEORETICALLY EXACT
Verlag:
LAP Lambert Academic Publishing, 2009
ISBN 10: 3838334639
ISBN 13: 9783838334639
Neu
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Reconstruction algorithms for clinical X-ray CT scanners have evolved over the year with emphasis on improving the noise properties of the reconstructed image especially for whole body imaging. With increasing regulations on X-ray radiation dose, approximat. Bestandsnummer des Verkäufers 5414041
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INVESTIGATION INTO THEORETICALLY EXACT : RECONSTRUCTION ALGORITHMS TOWARDS IMPROVED IMAGE QUALITY
Verlag:
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838334639
ISBN 13: 9783838334639
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Reconstruction algorithms for clinical X-ray CT scanners have evolved over the year with emphasis on improving the noise properties of the reconstructed image especially for whole body imaging. With increasing regulations on X-ray radiation dose, approximate reconstruction algorithms are preferred over exact reconstruction algorithms for clinical applications due to their superior noise properties. In this thesis, we look into improving the image quality, measured in terms of noise, of exact reconstruction algorithms. Of all the exact reconstruction algorithms available in litterature, we choose the exact reconstruction algorithm developed be Katsevich because of its superior computation efficiency. The noise properties of the Katsevich algorithm is improved by modifying the algorithm to reconstruct the estimate of the attenuation density function over a small region in space. This small region is called a slice and we introduce five methods that allow Katsevich algorithm to reconstruct slices. The first method is called the sub-sampling filtering method and this method reconstructs an estimate of a slice by averaging estimates of sub- samples within the slice region. Bestandsnummer des Verkäufers 9783838334639
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INVESTIGATION INTO THEORETICALLY EXACT
Verlag:
LAP LAMBERT Academic Publishing Dez 2009, 2009
ISBN 10: 3838334639
ISBN 13: 9783838334639
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Reconstruction algorithms for clinical X-ray CT scanners have evolved over the year with emphasis on improving the noise properties of the reconstructed image especially for whole body imaging. With increasing regulations on X-ray radiation dose, approximate reconstruction algorithms are preferred over exact reconstruction algorithms for clinical applications due to their superior noise properties. In this thesis, we look into improving the image quality, measured in terms of noise, of exact reconstruction algorithms. Of all the exact reconstruction algorithms available in litterature, we choose the exact reconstruction algorithm developed be Katsevich because of its superior computation efficiency. The noise properties of the Katsevich algorithm is improved by modifying the algorithm to reconstruct the estimate of the attenuation density function over a small region in space. This small region is called a slice and we introduce five methods that allow Katsevich algorithm to reconstruct slices. The first method is called the sub-sampling filtering method and this method reconstructs an estimate of a slice by averaging estimates of sub- samples within the slice region.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 132 pp. Englisch. Bestandsnummer des Verkäufers 9783838334639
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